Big Data: How can your business benefit?

Big Data LDN is fast approaching. This November, Olympia London will play host to the biggest names in big data, offering insights and effective strategies for your business to succeed.

Data has ramped up significantly in recent years. It’s flowing from each and every connected device we use on a daily basis, showing no sign of slowing down. All around the world, data is being generated every single minute, every single day. It can appear overwhelming at first, but Big Data LDN will arm you with the knowledge you need to excel in the brave new data-driven world.

We know that big data can be powerful. Yet so often businesses become inundated with large volumes of data, and they’re unable to effectively analyse and use it. It’s all well and good having the data, but what you do with it is more important. 

Simply put, harnessing the power of big data will lead to better decision-making and a clearer understanding of your customer, driving profitability and growth. 

Exactly how big is big data?

Big doesn’t do it justice. It’s enormous. There will be around 40 trillion gigabytes of data by 2020, generated by almost 4 billion internet users. It’s growing every day, reaching new heights year on year.

In 2018, internet users collectively spent 2.8 million years online. That time spent connected is generating massive amounts of data, packed full of insight and information the likes of which only the best data-driven businesses are using to good effect.

Big data is the future, that’s for sure. It’s also the present and we need not forget that. According to a NewVantage survey, 97.2% of organisations are now investing in big data and AI. Yet still, some businesses struggle to implement an effective pipeline from data collection to insight and analysis.

big data

So, how can you use Big Data?

One of the keys to effectively harnessing big data is staying up-to-date with emerging tech. The needs of your customers are always changing, so the technology you utilise must be agile, adapting to these changes to meet their demands or your businesses needs.

Harvest all of the information and use all of your data, but don’t forget that quality data is still better than quantity. Using the best strategy for your business is important. There is no one-size-fits-all solution.

Some data will come in fits-and-spurts, some in real-time. Some businesses will be collecting and analysing from a multitude of data streams, others will train their focus elsewhere. It’s pertinent to effective big data management to meld this data and use the correct tools to interpret it and govern it correctly. 

Learning how best to see and understand your data is imperative to the growth and success of your data-driven business. Companies like Tableau offer data visualisation software which does exactly that, boosting productivity to no-end. 

Big data can be a tricky concept to understand, but with tools like the Tableau platform, interactive and visual analysis allows you to drill down to the important insights in order to find more meaningful answers. It speaks to you in a language you can understand, allowing you to ask the questions that matter.

This November, 130 exhibitors and 150 speakers will give you an overview of the latest developments to sharpen the focus of your business with informed and effective strategies.

Among those speaking are Chris Wylie, dubbed “the millennials’ first great whistleblower.” Wylie was responsible for taking down Cambridge Analytica, forcing numerous Fortune 500 companies to revaluate their data and cybersecurity practices. 

Lloyd’s of London’s Waseem Ali, Head of Data Strategy, will also be speaking about data and statistics in decision-making, helping businesses uncover the value of big data.

You’re sure to leave Big Data LDN with a laundry list of things to implement immediately, moving forward into the brave new data-driven world armed with the tools to succeed. 

Join the #DataRevolution. Register for free today.

Big Data LDN

Luke Conrad

Technology & Marketing Enthusiast

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